Multiple deep learning based methods have been proposed for 3D object detection for autonomous driving. VeloFCN [1]} and MV3D [2]} proposed methods using a range view representation. Both methods construct the RV by discretizing the azimuth and elevation angles. In this paper, we propose a different RV representation using the configuration of the LiDAR, and demonstrate that it leads to better performance.
